Cardiac MRI in Acute Myocardial Infarction: The Harder You Look the More You See!
Speaker: Prof Derek Hausenloy
Acute coronary syndromes (ACS) are
a leading cause of death and disability in Singapore and worldwide. As such new
treatments are required to improve clinical outcomes in patients with ACS. In
this regard, cardiac magnetic resonance imaging (MRI) imaging has the unique
ability to tissue characterise the myocardium in patients presenting with an
ACS. This can allow the direct visualisation and quantification of
microvascular obstruction, intramyocardial haemorrhage, acute myocardial
infarct size, myocardial salvage, interstitial fibrosis in the remote
myocardium, all of which are surrogate clinical endpoints and predictors of
clinical outcome post-ACS. Cardiac MRI can therefore provide new insights into
the pathophysiology underlying an ACS and can be used to assess the
cardioprotective efficacy of new treatments for improving clinical outcomes in
ACS patients.
Topic 4:
Novel Method of Assessing Heart Contractile Function: The Crux of the Matter
Speaker: Assoc Prof Tan Ru San
Diverse heart imaging modalities
are used to assess global and regional myocardial function to aid in heart
failure (HF) diagnosis: echo, nuclear emission computed tomography and cardiac
magnetic resonance (CMR). Of these, CMR arguably provides superior resolution
and reproducible results of ventricular ejection fractions and volumes. Current
CMR techniques fail to exploit the full potential of the rich image dataset. We
previously demonstrated ventricular curvedness and curvedness rate imaging as
novel and promising clinical approaches for assessment of global and regional
myocardial left ventricular (LV) function in HF. From CMR, we segmented and reconstructed 4D
computational heart models to calculate local regional LV curvedness, surface
area strain and wall stress.
We believe analysis of global and
regional myocardial function can facilitate robust evaluation of HF, extending
CMR’s diagnostic potential spatiotemporally by analysis of morphological and
topological information throughout all phases of the cardiac cycle. Local LV
point curvedness is independent of spatial reference and thus computationally
efficient. We have developed rapid computational algorithms for calculation of
LV curvedness and its derivatives. We believe that automated method for rapid
comprehensive assessment of systolic and diastolic LV functional performance
that is physiologically meaningful and reproducible shall answer an unmet
clinical need.
*Information is correct at time of update